VortexT seamlessly integrates static and dynamic data feeds from internal and external sources and rapidly ingests data without the need for additional manual operations. VortexT indexes data as it is imported, eliminating the time and expense of manual preprocessing and data tagging, allowing users to include larger data volumes while significantly expediting the ingest process.
The Ingest Pipeline leverages multiple open source and proprietary processing technologies to optimize the speed and amount of text extracted.
The linear algorithms within VortexT perform these functions on each data source independent of the overall data population, resulting in orders of magnitude faster computing time and no need to wait for the entire data set to be reprocessed when new information is added. Users effortlessly and efficiently add to the data set as their analysis unfolds. VortexT also connects to data where it resides with no need to duplicate files while still allowing users to support their analysis by dragging and dropping specific files onto graphics and into reports.
These same ingest features revolutionize dynamic data analysis and allow users to keep pace with changing data. VortexT ingests various dynamic data formats and provides users a toolset to address any rate of change within their data sets. From setting alerts and manually re-indexing to fully automating the process on any frequency, analysts remain in full control of their entire data set.